Technical Program

SP-P2: Machine Learning and Acoustic Modeling

Session Type: Poster
Time: Tuesday, March 27, 14:00 - 16:00
Location: Poster Area B
Session Chairs: Patrick Nguyen, Google, Inc. and Takahiro Shinozaki, Chiba University
 
SP-P2.1: SEQUENTIAL DEEP BELIEF NETWORKS
         Galen Andrew; University of Washington
         Jeff Bilmes; University of Washington
 
SP-P2.2: MULTILINGUAL MLP FEATURES FOR LOW-RESOURCE LVCSR SYSTEMS
         Samuel Thomas; The Johns Hopkins University
         Sriram Ganapathy; The Johns Hopkins University
         Hynek Hermansky; The Johns Hopkins University
 
SP-P2.3: UNDERSTANDING HOW DEEP BELIEF NETWORKS PERFORM ACOUSTIC MODELLING
         Abdel-Rahman Mohamed; University of Toronto
         Geoffrey Hinton; University of Toronto
         Gerald Penn; University of Toronto
 
SP-P2.4: APPLYING CONVOLUTIONAL NEURAL NETWORKS CONCEPTS TO HYBRID NN-HMM MODEL FOR SPEECH RECOGNITION
         Ossama Abdel-Hamid; York University
         Abdel-Rahman Mohamed; University of Toronto
         Hui Jiang; York University
         Gerald Penn; University of Toronto
 
SP-P2.5: A FAST COMPRESSIVE SENSING APPROACH FOR PHONEME CLASSIFICATION
         Armin Saeb; Islamic Azad University, Shahr-e-Rey Branch
         Farbod Razzazi; Islamic Azad University, Science and Research Branch
 
SP-P2.6: CLASSIFICATION MARGIN FOR IMPROVED CLASS-BASED SPEECH RECOGNITION PERFORMANCE
         Denis Jouvet; INRIA - LORIA
         Nicolas Vinuesa; INRIA - LORIA
 
SP-P2.7: UNSEEN NOISE ROBUST SPEECH RECOGNITION USING ADAPTIVE PIECEWISE LINEAR TRANSFORMATION
         Keigo Chijiiwa; The University of Tokyo
         Masayuki Suzuki; The University of Tokyo
         Nobuaki Minematsu; The University of Tokyo
         Keikichi Hirose; The University of Tokyo
 
SP-P2.8: A TANDEM CONNECTIONIST MODEL USING COMBINATION OF MULTI-SCALE SPECTRO-TEMPORAL FEATURES FOR ACOUSTIC EVENT DETECTION
         Miquel Espi; The University of Tokyo
         Masakiyo Fujimoto; NTT Corporation
         Daisuke Saito; The University of Tokyo
         Nobutaka Ono; National Institute of Informatics
         Shigeki Sagayama; The University of Tokyo
 
SP-P2.9: FACTORIAL HIDDEN RESTRICTED BOLTZMANN MACHINES FOR NOISE ROBUST SPEECH RECOGNITION
         Steven Rennie; IBM
         Petr Fousek; IBM
         Pierre Dognin; IBM
 
SP-P2.10: STRANDED GAUSSIAN MIXTURE HIDDEN MARKOV MODELS FOR ROBUST SPEECH RECOGNITION
         Yong Zhao; Georgia Institute of Technology
         Biing-Hwang (Fred) Juang; Georgia Institute of Technology
 
SP-P2.11: LASSO ENVIRONMENT MODEL COMBINATION FOR ROBUST SPEECH RECOGNITION
         Xiong Xiao; Nanyang Technological University
         Jinyu Li; Microsoft Corporation
         Eng-Siong Chng; Nanyang Technological University
         Haizhou Li; Institute for Infocomm Research
 
SP-P2.12: EASY DOES IT: ROBUST SPECTRO-TEMPORAL MANY-STREAM ASR WITHOUT FINE TUNING STREAMS
         Suman Ravuri; ICSI/University of California at Berkeley
         Nelson Morgan; ICSI/University of California at Berkeley